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harry0703/MoneyPrinterTurbo

Establishedrank #49

利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.

126.2k+1.3k · 7d 19.7k 417est. MITPythonpushed 2h ago
Compare View on GitHub

Composite

75

conf 65%

Momentum

64

conf 60%

Vitality (PVI)

80

conf 67%

Community

67

conf 60%

Security & maint.

91

conf 85%

Ecosystem influence

80

conf 60%

Opportunity

71

conf 60%

Breakout · 7d

58%

conf 71%

Executive summary

MoneyPrinterTurbo is currently classified as established with a composite score of 75/100. Momentum (64) and vitality (80) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 1,314 stars against a 126.2k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 58%.

Video breakdown

@gptaiclips on YouTube
MoneyPrinterTurbo: AI Auto-Generates YouTube Shorts in One Click (64K Stars) #shortsMoneyPrinterTurbo: AI Auto-Generates YouTube Shorts in One Click (64K Stars) #shorts4mo ago

90-day trajectory

+5.1k · 30d
2026-06-302026-09-27

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%87
Star accelerationest.15%55
Fork velocityest.10%81
Contributor growthest.10%90
Issue activity growthest.10%34
PR activity growthest.10%63
External mention velocityest.10%9
Release event impactest.5%78
Trending-rank persistenceest.5%41

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%67
PR responsivenessest.15%78
Issue responsivenessest.15%68
Contributor diversityest.10%97
Maintainer continuityest.10%73
Documentation qualityest.5%60
Dependency freshnessest.5%88
Security hygieneest.5%72

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%67
Bus factorest.15%82

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%100
Quality-weighted dependentsest.20%93
Documentation citationsest.15%45
Contributor overlapest.15%41
Registry adoptionest.10%79
Topic centralityest.10%100

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption